Instructions to use thtang/ALL_862873 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thtang/ALL_862873 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="thtang/ALL_862873")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("thtang/ALL_862873") model = AutoModel.from_pretrained("thtang/ALL_862873") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 755464266d7f3c470dabae96019249454928b7a3b2feacb4c019ba8d72bc67d6
- Size of remote file:
- 471 MB
- SHA256:
- 17d6dbedd1d2f6e10a4c359682cfd53d24b04e19a50c29e29591f827e8b714ac
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